Deep learning model for HIstoPatholOgy (Deep-Hipo)
Deep-Hipo is designed to accurately analyze histopathological images by learning multi-scale morphological patterns from various magnification levels of patches in a WSI simultaneously
Required packages:
- PyHistopathology
- Open CV
- Sklearn
- Keras
- Tensorflow
CODE FOLLOW:
Codes for Training are in Deep-Hipo folder
- Deep-HipoTrain.py is the interface for train our model. It has data generators which automatically loads multiple inputs simantionously.
- Deep-Hipo_Model.py Constructs Deep-Hipo architecture.
- Dilationlayer.py Dilation Layers (intial layers) for Deep-Hipo architecture
- InceptionA.py Module A of our architecture.
- InceptionB.py Module B of our architecture.
- InceptionC.py Module C of our architecture.
- InceptionD.py Module D of our architecture.
- InceptionE.py Module E of our architecture.
